{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bathymetric data\n",
    "\n",
    "[*GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9*)](https://www.gebco.net/data_and_products/gridded_bathymetry_data/)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (lat: 264, lon: 216)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 55.2 55.21 55.21 55.21 ... 56.29 56.29 56.29 56.3\n",
       "  * lon        (lon) float64 12.2 12.21 12.21 12.21 ... 13.09 13.09 13.09 13.1\n",
       "Data variables:\n",
       "    elevation  (lat, lon) int16 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    title:        The GEBCO_2020 Grid - a continuous terrain model for oceans...\n",
       "    institution:  On behalf of the General Bathymetric Chart of the Oceans (G...\n",
       "    source:       The GEBCO_2020 Grid is the latest global bathymetric produc...\n",
       "    history:      Information on the development of the data set and the sour...\n",
       "    references:   DOI: 10.5285/a29c5465-b138-234d-e053-6c86abc040b9\n",
       "    comment:      The data in the GEBCO_2020 Grid should not be used for navi...\n",
       "    node_offset:  1.0</pre>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 264, lon: 216)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 55.2 55.21 55.21 55.21 ... 56.29 56.29 56.29 56.3\n",
       "  * lon        (lon) float64 12.2 12.21 12.21 12.21 ... 13.09 13.09 13.09 13.1\n",
       "Data variables:\n",
       "    elevation  (lat, lon) int16 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.6\n",
       "    title:        The GEBCO_2020 Grid - a continuous terrain model for oceans...\n",
       "    institution:  On behalf of the General Bathymetric Chart of the Oceans (G...\n",
       "    source:       The GEBCO_2020 Grid is the latest global bathymetric produc...\n",
       "    history:      Information on the development of the data set and the sour...\n",
       "    references:   DOI: 10.5285/a29c5465-b138-234d-e053-6c86abc040b9\n",
       "    comment:      The data in the GEBCO_2020 Grid should not be used for navi...\n",
       "    node_offset:  1.0"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray\n",
    "\n",
    "ds = xarray.open_dataset(\"../tests/testdata/gebco_2020_n56.3_s55.2_w12.2_e13.1.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x29a4edbf348>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.elevation.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre>&lt;xarray.DataArray &#x27;elevation&#x27; ()&gt;\n",
       "array(-43, dtype=int16)\n",
       "Coordinates:\n",
       "    lat      float64 55.86\n",
       "    lon      float64 12.75\n",
       "Attributes:\n",
       "    standard_name:       height_above_reference_ellipsoid\n",
       "    long_name:           Elevation relative to sea level\n",
       "    units:               m\n",
       "    sdn_parameter_urn:   SDN:P01::BATHHGHT\n",
       "    sdn_parameter_name:  Sea floor height (above mean sea level) {bathymetric...\n",
       "    sdn_uom_urn:         SDN:P06::ULAA\n",
       "    sdn_uom_name:        Metres</pre>"
      ],
      "text/plain": [
       "<xarray.DataArray 'elevation' ()>\n",
       "array(-43, dtype=int16)\n",
       "Coordinates:\n",
       "    lat      float64 55.86\n",
       "    lon      float64 12.75\n",
       "Attributes:\n",
       "    standard_name:       height_above_reference_ellipsoid\n",
       "    long_name:           Elevation relative to sea level\n",
       "    units:               m\n",
       "    sdn_parameter_urn:   SDN:P01::BATHHGHT\n",
       "    sdn_parameter_name:  Sea floor height (above mean sea level) {bathymetric...\n",
       "    sdn_uom_urn:         SDN:P06::ULAA\n",
       "    sdn_uom_name:        Metres"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.elevation.sel(lon=12.74792, lat=55.865, method=\"nearest\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(264, 216)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "el = ds.elevation.values\n",
    "el = np.flipud(el)\n",
    "el.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dfs2 need a time dimension even if it only has a single timestep."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "el = np.expand_dims(el,axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Set land values to missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "el = el.astype('float32')\n",
    "el[el > 0.0] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x29a4f0b9588>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(el[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12.20208333333332,\n",
       " 55.20208333333332,\n",
       " 216,\n",
       " 264,\n",
       " 0.004166666666666711,\n",
       " 0.00416666666666666)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat = ds.lat.values\n",
    "lon = ds.lon.values\n",
    "\n",
    "\n",
    "nx = len(lon)\n",
    "ny = len(lat)\n",
    "\n",
    "dx = (lon[-1] - lon[0]) / (nx-1)\n",
    "dy = (lat[-1] - lat[0]) / (ny-1)\n",
    "\n",
    "x0 = lon[0]\n",
    "y0 = lat[0]\n",
    "\n",
    "\n",
    "x0, y0, nx, ny, dx, dy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create dfs2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mikeio.eum import EUMType, EUMUnit\n",
    "\n",
    "from mikeio import Dfs2\n",
    "from mikeio.eum import ItemInfo\n",
    "\n",
    "d = []\n",
    "d.append(el)\n",
    "\n",
    "dfsfilename = \"gebco_sound.dfs2\"\n",
    "\n",
    "coordinate = ['LONG/LAT', x0, y0, 0]\n",
    "\n",
    "dfs = Dfs2()\n",
    "dfs.create(filename=dfsfilename,\n",
    "           data=d,\n",
    "           coordinate=coordinate, length_x=dx, length_y=dy,\n",
    "           items=[ItemInfo(\"Elevation\", EUMType.Total_Water_Depth)]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "newds = dfs.read(dfsfilename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Elevation <Total Water Depth> (meter)]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newds.items"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find index of the deepest point (55.865N, 12.74792E)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "104 131\n"
     ]
    }
   ],
   "source": [
    "k,j = dfs.find_closest_element_index(lon=12.74792,lat=55.865)\n",
    "print(k,j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-43.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newds.data[0][0,k,j]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clean up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.remove(dfsfilename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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